• Title, Summary, Keyword: 배터리 상태 추정

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Application of SOC estimation method to lead storage battery of industrial electric vehicle (산업용 전기 차량의 납 축전지 SOC 추정 방법 적용 연구)

  • Park, Gi-Hyoung;Kim, Sung-Ki;Ryu, Chong-Geon;Jung, Myung-Kil
    • Proceedings of the KIPE Conference
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    • pp.299-300
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    • 2012
  • 본 논문에서는 납 축전지를 사용하는 산업용 전기차량의 SOC(State Of Charge)를 별도의 BMS(Battery Management System)장치 없이 추정하는 방법에 대해 기술한다. SOC를 추정하기 위한 기존의 전통적인 방법들 중 전력을 적산하는 방법(Ampere hour counting)이 널리 사용되는데 이는 장치의 내, 외적인 요인에 의해 발생한 오차가 누적될 수 있다. 배터리의 전압을 측정하여 SOC를 추정하는 OCV(Open Circuit Voltage) 방법은 배터리가 안정 상태에 도달하기까지 충분한 휴지 시간이 필요해 실시간으로 적용하기 힘들다. 이 외에 칼만 필터를 이용하는 방법은 시스템을 정확히 모델링해야 하고 계산이 복잡하다는 단점이 있다. 본 연구에서는 전력을 적산하는 방법을 기본으로 하고 배터리의 전압을 적절히 이용하여 누적되는 오차를 보정하는 방법을 제안한다. 제안한 방법에 대해 시뮬레이션 하고 실제로 산업용 차량인 AC 전동 지게차로 실험하여 그 타당성을 검증 하였다.

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Battery Monitoring System for High Capacity Uninterruptible Power Supply (대용량 무정전 전원장치를 위한 배터리 모니터링 시스템)

  • Lee, Hyung-Kyu;Kim, Gi-Taek
    • Journal of IKEEE
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    • v.23 no.2
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    • pp.580-585
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    • 2019
  • Batteries are being used in ESS, electric vehicles and uninterruptible power backup systems. Lead-acid batteries are the most used batteries for high capacity power back up equipment due to their high reliability and low price advantages. It is very important to estimate the chargeable capacity(SoH), and many algorithms were proposed to estimate the internal resistance of the battery. In this paper, the Battery Monitoring System(BMS) for high capacity uninterruptible power supply for IDC is proposed. A simple algorithm for estimating internal resistance was proposed. An computational block diagram of the proposed signal processing algorithm and BMS system configuration of CPU and analog circuit were shown. The proposed method was proved useful by presenting data examples of application to actual IDC sites.

High safety battery management system of DC power source for hybrid vessel (하이브리드 선박 직류전원용 고 안전 BMS)

  • Choi, Jung-Leyl;Lee, Sung-Geun
    • Journal of the Korean Society of Marine Engineering
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    • v.40 no.7
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    • pp.635-641
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    • 2016
  • In order to drive a hybrid propulsion device which combines an engine and an electric propulsion unit, battery packs that contain dozens of unit cells consisting of a lithium-based battery are used to maintain the power source. Therefore, it is necessary to more strictly manage a number of battery cells at any given time. In order to manage battery cells, generally voltage, current, and temperature data under load condition are monitored from a personal computer. Other important elements required to analyze the condition of the battery are the internal resistances that are used to judge its state-of-health (SOH) and the open-circuit voltage (OCV) that is used to check the battery charging state. However, in principle, the internal resistances cannot be measured during operation because the parallel equivalent circuit is composed of internal loss resistances and capacitance. In most energy storage systems, battery management system (BMS) operations are carried out by using data such as voltage, current, and temperature. However, during operation, in the case of unexpected battery cell failure, the output voltage of the power supply can be changed and propulsion of the hybrid vehicle and vessel can be difficult. This paper covers the implementation of a high safety battery management system (HSBMS) that can estimate the OCV while the device is being driven. If a battery cell fails unexpectedly, a DC power supply with lithium iron phosphate can keep providing the load with a constant output voltage using the remainder of the batteries, and it is also possible to estimate the internal resistance.

Modeling and State Observer Design of HEV Li-ion Battery (하이브리드 전기자동차용 리튬이온 배터리 모델링 및 상태 관측기 설계)

  • Kim, Ho-Gi;Heo, Sang-Jin;Kang, Gu-Bae
    • The Transactions of the Korean Institute of Power Electronics
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    • v.13 no.5
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    • pp.360-368
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    • 2008
  • A lumped parameter model of Li-ion battery in hybrid electric vehicle(HEV) is constructed and system parameters are identified by using recursive least square estimation for different C-rates, SOCs and temperatures. The system characteristics of pole and zero in the frequency domain are analyzed with the parameters obtained from different conditions. The parameterized model of a Li-ion battery indicates highly dependent of temperatures. To estimate SOC and polarization voltage, a Luenberger state observer is utilized. The P- or PI-gains of observer based on a suitable natural frequency and damping ratio is adopted for the state estimation. Satisfactory estimation accuracy of output voltage and SOC is especially obtained by a PI-gain. The feasibility of the proposed estimation method is verified through experiment under the conditions of different C-rates, SOCs and temperatures.

C-rate based electrical characteristics and equivalent circuit modeling of 18650 cylindrical Li-ion battery for nuclear power plant application (원전 비상전원 적용성 판단을 위한 다양한 C-rate 기반 원통형 리튬이온 배터리의 전기적 특성분석 및 모델링)

  • Kim, Gunwoo;Park, Seongyun;Park, Jinhyeong;Kim, Jonghoon;Park, Sungbaek;Kim, Youngmi
    • Journal of IKEEE
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    • v.23 no.2
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    • pp.667-674
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    • 2019
  • The recent incidents of Nuclear Power Plant(NPP) gave rise to a total power outage caused by the loss of the functions of the off-site and the emergency power supply. Currently, emergency power supply of NPP have been taken into account by Li-ion batteries instead of existing lead-acid batteries. In order to judge the applicability of the cylindrical Li-ion battery, it is necessary to analysis the results of various electrical tests. This paper investigates the basic electrical characteristics test of three types of cylindrical batteries in order to select the most suitable battery and estimate state of battery through equivalent circuit model and propose method to solve the problem.

Comparison of Learning Techniques of LSTM Network for State of Charge Estimation in Lithium-Ion Batteries (리튬 이온 배터리의 충전 상태 추정을 위한 LSTM 네트워크 학습 방법 비교)

  • Hong, Seon-Ri;Kang, Moses;Kim, Gun-Woo;Jeong, Hak-Geun;Beak, Jong-Bok;Kim, Jong-Hoon
    • Journal of IKEEE
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    • v.23 no.4
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    • pp.1328-1336
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    • 2019
  • To maintain the safe and optimal performance of batteries, accurate estimation of state of charge (SOC) is critical. In this paper, Long short-term memory network (LSTM) based on the artificial intelligence algorithm is applied to address the problem of the conventional coulomb-counting method. Different discharge cycles are concatenated to form the dataset for training and verification. In oder to improve the quality of input data for learning, preprocessing was performed. In addition, we compared learning ability and SOC estimation performance according to the structure of LSTM model and hyperparameter setup. The trained model was verified with a UDDS profile and achieved estimated accuracy of RMSE 0.82% and MAX 2.54%.

Role and Operation Algorithm of a Battery Management Systems (EV용 BMS의 역할과 운전 알고리즘)

  • 이재문;최욱돈;이종필;이종찬
    • The Transactions of the Korean Institute of Power Electronics
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    • v.6 no.6
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    • pp.467-473
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    • 2001
  • BMS(Battery Management System) in EV system(Electric Vehicle) senses voltage, temperature and the charging or discharging current of batteries. The main roles of BMS are to estimate SOC(State OF Charge) of batteries and optimally monitor them according to the operation state of EV system which is motoring mode or charging mode. In this paper, we propose the proper algorithm about BMS's roles and operation which is suitable to EV system and illustrate validity and effectiveness through the experiments which were performed in the condition of Vehicle road test and charging test.

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Autolanding Mission Planning of the IT Convergence Hoverable UAV (IT 융합 회전익 무인항공기의 자동 착륙 임무수행)

  • Jung, Sunghun;Kim, Hyunsu
    • Journal of the Korea Convergence Society
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    • v.8 no.6
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    • pp.9-16
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    • 2017
  • Researchers are now faced with a limited flight time of the hoverable UAV due to the sluggish technological advances of the Li-Po energy density and try to find a bypassing solution for the fully autonomous hoverable UAV mission planning. Although there are several candidate solutions, automated wireless charging is the most likely and realistic candidate and we are focusing on the autolanding strategy of the hoverable UAV in this paper since it is the main technology of it. We developed a hoverable UAV flight simulator including Li-Po battery pack simulator using MATLAB/Simulink and UAV flight and battery states are analyzed. The maximum motor power measured as 1,647 W occurs during the takeoff and cell voltage decreases down to 3.39 V during the procedure. It proves that the two Li-Po battery packs having 22 Ah and connected in series forming 12S1P are appropriate for the autolanding mission planning.

EKF Based SOH State Estimation Algorithm for UAV Li-Po Battery Pack (무인항공기 리튬폴리머 배터리팩용 EKF 기반 SOH 상태추정 알고리즘)

  • Jung, Sunghun
    • Journal of the Korea Convergence Society
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    • v.8 no.6
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    • pp.237-243
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    • 2017
  • Ignorance of battery pack life could bring unexpected UAV crashes and so the SOH estimation became a next important factor to the SOC estimation. In contrast to the EV applications, the small UAV could not carry heavy and complex BMS and so it is required to apply a simple, light, cheap, but powerful BMS to prevent any accident. In this paper, we show two SOH estimation methods, using internal resistance and using $SOC_I$ and $SOC_V$ with CF. Results show that the SOH becomes about 92% after 30 number of discharging cycles.

Differential Voltage Curve Estimation Algorithm for online SOH Estimation (실시간 SOH 추정을 위한 전압변동 곡선 추적 알고리즘)

  • Kim, Dong-Min;Lee, Jong-Kuk;Noh, Tae-Won;Lee, Jae-Hyung;Kim, So-Young;Lee, Byoung-Kuk
    • Proceedings of the KIPE Conference
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    • pp.77-78
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    • 2017
  • 본 논문에서는 온라인 업데이트 상황에서의 배터리 용량 감소상태를 추정하기 위해 사용되는 전압변동곡선(Differential Voltage; DV)을 실시간으로 추정하는 알고리즘을 개발한다. 동적 전류 특성으로 인한 오차의 최소화를 위해 내부 임피던스 성분에 의한 전압 변동을 고려하는 방법론을 제안하며, 이는 필터링 기법을 통한 파라미터 추정 과정을 포함한다. 본 연구의 타당성은 단전지 전류 프로파일 실험 결과를 기반으로 시뮬레이션을 통하여 검증한다.

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